人體最重要的幾項生理參數包括呼吸率、心率以及體溫，同時觀察上述幾項生理測量值能夠幫助我們判斷病患的身體與生理狀態。然而，目前用於收集這些生理參數的傳統方法如：心電圖法（ECG）、光體積變化描述法（PPG）與溫度計等接觸式的量測方法長期下來會造成皮膚不適、引發過敏反應與疼痛的問題，而且經常性地量測也會影響受試者的舒適度。
近年來則陸續有研究提出使用非接觸式的感測方式來量測生理訊號，非接觸式的量測主要可以使用都卜勒雷達以及攝影機來達成，其中攝影方法又可細分為一般的RGB相機或是紅外線熱像儀。與都卜勒雷達和RGB攝影機相比，基於熱顯像儀的非接觸式生理訊號量測技術是一個較新的研究領域。除了高舒適性、高便利性以及高隱私性的優點之外，還能夠不受環境光源、受測者膚色影響。使得它具有更廣的發展空間，也更符合新生兒和長期照護的場景應用。
本論文建構一套適用於靜態情況下的多生理參數量測系統。利用一低解析度（80×60）的熱顯像儀當作影像來源，並加入影像處理與訊號處理演算法即時推算出受測者當下的體表溫度、心率與呼吸率。經過模擬真實情況下的即時監控顯示，在受測者靜坐狀態下的實驗中，體表溫度之平均絕對誤差為0.41°C、平均心率準確度為89.85％以及平均呼吸率準確度為91.59％；而在受測者靜坐並配戴口罩的實驗中，其體表溫度平均誤差為0.51°C、平均心率準確度為91.55％以及平均呼吸率準確度為96.61％。實驗結果顯示本論文所提出的系統在距離50至80公分的量測前提下，能夠偵測出受測者之即時體表溫度、心率與呼吸率，並有一定的準確度。

Respiration rate, pulse rate, and body temperature are the most important physiological parameters of the human body. Observing the above-mentioned physiological measurement values at the same time can help us judge the physical and physiological states of the patient. However, current methods, such as ECG, PPG, and thermometers, that are used to collect physiological parameters may cause skin discomfort, allergic reactions and pain in the case of long-term care.
In recent years, studies have been proposed to use non-contact sensing methods to measure physiological signals. Non-contact measurements are mainly achieved by using Doppler radar and cameras, while the latter can be further divided into two types: general RGB cameras and thermal cameras. Compared with Doppler radar and RGB cameras, researches on the thermal camera-based technology is of a greater novelty. In addition to offering a high level of comfort, convenience, and privacy, it is also immune to environmental light sources and the subject's skin tone. With the above strengths, the method has greater potential for development and is more suitable for applications in neonatal and long-term care.
In this paper, a system was built for measuring multiple physiological parameters in static conditions. Using a low-resolution (80×60) thermal camera as the image source, image and signal processing algorithms were developed to calculate the surface temperature, pulse rate, and respiratory rate of the subjects in real time. The subjects were requested to sit still in the environment simulating real-world conditions. The mean absolute error of surface temperature was 0.41°C, the average accuracy of pulse rate was 89.85%, and the average accuracy of respiration rate was 91.59%. In the experiment of sitting with wearing a face mask, the mean absolute error of surface temperature was 0.51°C, the average accuracy of pulse rate was 91.55%, and the average accuracy of respiration rate was 96.61%. The experimental results show that the proposed system can measure the subject’s surface temperature, pulse rate and respiration rate with certain accuracy at a distance of 50-80 cm.

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